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生物特征识别技术综述
- 生物特征识别的综述,近年来各种生物特征识别技术的总结介绍,很适合入门者,对生物特征识别有个大概的了解.-biometrics synthesis, in recent years various biometric identification technology summaries, which is perfect for beginners. right biometrics is about the understanding
plam
- 基于掌纹识别的在线身份验证 识别算法本科毕设 采集本科毕设 供毕设参考-based biometric authentication of online undergraduate recognition algorithm based Bi Bi-based undergraduate collection for BI-based reference
CollectFaceImage
- 便于使用的收集人脸图像建立数据库的工具程序。供人脸检测/识别/表情/姿态等模式识别、人工智能领域的研究者使用。可以方便地从网页中收集人脸照片,提供良好的交互界面对照片在模式识别,尤其是biometric领域中所需的各种属性进行标注,建立数据库。-easy-to-use collection of facial image database tools procedures. For Face detection / identifica
recognise
- 一个基于ARM芯片的生物识别系统,包括硬件设计和软件设计-an ARM chip-based biometric systems, including hardware design and software design
SimpleLAP
- 一个嵌入式系统的生物识别的MS通用接口LAP源码-a biometric identification system MS General Interface LAP FOSS
Biology_identity_arm
- 基于ARM的生物识别系统,C语言源代码。对于不同公司的ARM,使用的开发环境不同。本人比较推荐使用KEIL C,支持的ARM芯片较多。-ARM-based biometric identification system, C language source code. For the different companies in the ARM, the use of the development environment is dif
jdsjfad8f8098d09sfa
- 生物特征识别的综述,近年来各种生物特征识别技术的总结介绍,很适合入门者,对生物特征识别有个大概的了解的-biometrics identification on, in recent years various biometric identification technology summaries, which is perfect for beginners. Recognition of biological features
EAR
- 人耳识别技术是20世纪90年代末开始兴起的一种生物特征识别技术,与其它生物特征识别技术比较具有以下几个特点:(1)与人脸识别方法比较,耳识别方法不受面部表情、化妆品和胡须变化的影响,同时保留了面部识别图象采集方便的优点,与人脸相比,整个人耳的颜色更加一致、图像尺寸更小,数据处理量也更小。(2)与指纹识别方法比较,耳图象的获取是一种被动方式,即通过非接触方式获取耳图像,不存在通过接触传染疾病的机会,因此,其信息获取方式具有容易被人接受的优
createiristemplate
- createiristemplate - generates a biometric template from an iris in % an eye image. % % Usage: % [template, mask] = createiristemplate(eyeimage_filename) % % Arguments: % eyeimage_filename - the file name
AT77FP105-Datasheet
- Atmel’s AT91SAM7FP105 is a low pincount FingerChip processor based on the 32-bit ARM RISC processor. It features a on-chip biometric engine performing enrollment verification and identification, an internal record ca
CollectFaceImage
- 便于使用的收集人脸图像建立数据库的工具程序。供人脸检测/识别/表情/姿态等模式识别、人工智能领域的研究者使用。可以方便地从网页中收集人脸照片,提供良好的交互界面对照片在模式识别,尤其是biometric领域中所需的各种属性进行标注,建立数据库。-easy-to-use collection of facial image database tools procedures. For Face detection/identificati
recognise
- 一个基于ARM芯片的生物识别系统,包括硬件设计和软件设计-an ARM chip-based biometric systems, including hardware design and software design
Biology_identity_arm
- 基于ARM的生物识别系统,C语言源代码。对于不同公司的ARM,使用的开发环境不同。本人比较推荐使用KEIL C,支持的ARM芯片较多。-ARM-based biometric identification system, C language source code. For the different companies in the ARM, the use of the development environment is dif
jdsjfad8f8098d09sfa
- 生物特征识别的综述,近年来各种生物特征识别技术的总结介绍,很适合入门者,对生物特征识别有个大概的了解的-biometrics identification on, in recent years various biometric identification technology summaries, which is perfect for beginners. Recognition of biological features
EAR
- 人耳识别技术是20世纪90年代末开始兴起的一种生物特征识别技术,与其它生物特征识别技术比较具有以下几个特点:(1)与人脸识别方法比较,耳识别方法不受面部表情、化妆品和胡须变化的影响,同时保留了面部识别图象采集方便的优点,与人脸相比,整个人耳的颜色更加一致、图像尺寸更小,数据处理量也更小。(2)与指纹识别方法比较,耳图象的获取是一种被动方式,即通过非接触方式获取耳图像,不存在通过接触传染疾病的机会,因此,其信息获取方式具有容易被人接受的优
DSPapplication
- 数字信号处理 (DSP) 已成为数字革命的基础。在手机的核心部分、音频和视频播放器、数码摄像机、电话基础设施、电机控制系统、甚至生物辨识安全设备中,您都能找到数字信号处理器 (DSP)。DSP应用程序开发实例 -Digital signal processing (DSP) has become the basis of the digital revolution. At the core of the mobile phone,
SOFM
- Kohonen的SOFM(自组织特征映射):这种算法部分收到生物特征影响,在网络输出层内按几何中心或特征进行聚类。-Kohonen s SOFM (self-organizing feature map): This algorithm received biometric part of the impact of the output layer in the network according to the geometric c
EMfor_neural_networks
- In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and W
createiristemplate
- createiristemplate - generates a biometric template from an iris in % an eye image. % % Usage: % [template, mask] = createiristemplate(eyeimage_filename) % % Arguments: % eyeimage_filename - the file name
finger
- 指纹自动识别技术是最早和最广泛被应用于实践的生物特征识别技术,随着计算机与信息技术的不断发展,指纹识别技术的研究受到了广泛的关注和重视。-Automated Fingerprint Identification Technology is one of the earliest and most widely used in the practice of using biometric recognition technology,